Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosing behavior. It lists the exact breakdowns it returns (registry, chain, commerce job counts, trust score tiers) and notes the 180,000+ agent scale, which is useful context. However, it does not describe the response structure or any potential limitations, though the simplicity of a no-parameter stats tool reduces the need.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, tightly packed sentence that conveys all essential information without redundancy. Every element contributes to understanding the tool's output and coverage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no parameters and no output schema, the description fully covers what users need to know: the type of statistics and the scope. It is complete and self-contained, though adding an explicit statement that it returns aggregated data could marginally improve clarity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, so the baseline is 4. The description adds contextual meaning about the scope of the returned statistics (network-wide, 180,000+ agents), but there are no parameter details to elaborate on.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing network-wide statistics, enumerating specific metrics like agent counts by registry, chain distribution, commerce job counts, and trust score tiers. While it lacks an explicit action verb, the intent is unambiguous and distinct from the sibling tools, though it does not directly differentiate itself from similar tools like commerce_stats.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. The description simply states what it does without mentioning any context, prerequisites, or exclusions, leaving the agent to infer appropriate usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.